@article{ArgentieroSolimandoKrebsetal.2020, author = {Argentiero, Antonella and Solimando, Antonio Giovanni and Krebs, Markus and Leone, Patrizia and Susca, Nicola and Brunetti, Oronzo and Racanelli, Vito and Vacca, Angelo and Silvestris, Nicola}, title = {Anti-angiogenesis and immunotherapy: novel paradigms to envision tailored approaches in renal cell-carcinoma}, series = {Journal of Clinical Medicine}, volume = {9}, journal = {Journal of Clinical Medicine}, number = {5}, issn = {2077-0383}, doi = {10.3390/jcm9051594}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-205846}, year = {2020}, abstract = {Although decision making strategy based on clinico-histopathological criteria is well established, renal cell carcinoma (RCC) represents a spectrum of biological ecosystems characterized by distinct genetic and molecular alterations, diverse clinical courses and potential specific therapeutic vulnerabilities. Given the plethora of drugs available, the subtype-tailored treatment to RCC subtype holds the potential to improve patient outcome, shrinking treatment-related morbidity and cost. The emerging knowledge of the molecular taxonomy of RCC is evolving, whilst the antiangiogenic and immunotherapy landscape maintains and reinforces their potential. Although several prognostic factors of survival in patients with RCC have been described, no reliable predictive biomarkers of treatment individual sensitivity or resistance have been identified. In this review, we summarize the available evidence able to prompt more precise and individualized patient selection in well-designed clinical trials, covering the unmet need of medical choices in the era of next-generation anti-angiogenesis and immunotherapy.}, language = {en} } @article{McLaughlinSchmulensonTeplytskaetal.2021, author = {Mc Laughlin, Anna M. and Schmulenson, Eduard and Teplytska, Olga and Zimmermann, Sebastian and Opitz, Patrick and Groenland, Stefanie L. and Huitema, Alwin D. R. and Steeghs, Neeltje and M{\"u}ller, Lothar and Fuxius, Stefan and Illerhaus, Gerald and Joerger, Markus and Mayer, Frank and Fuhr, Uwe and Holdenrieder, Stefan and Hempel, Georg and Scherf-Clavel, Oliver and Jaehde, Ulrich and Kloft, Charlotte}, title = {Developing a nationwide infrastructure for therapeutic drug monitoring of targeted oral anticancer drugs: the ON-TARGET study protocol}, series = {Cancers}, volume = {13}, journal = {Cancers}, number = {24}, issn = {2072-6694}, doi = {10.3390/cancers13246281}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-252196}, year = {2021}, abstract = {Exposure-efficacy and/or exposure-toxicity relationships have been identified for up to 80\% of oral anticancer drugs (OADs). Usually, OADs are administered at fixed doses despite their high interindividual pharmacokinetic variability resulting in large differences in drug exposure. Consequently, a substantial proportion of patients receive a suboptimal dose. Therapeutic Drug Monitoring (TDM), i.e., dosing based on measured drug concentrations, may be used to improve treatment outcomes. The prospective, multicenter, non-interventional ON-TARGET study (DRKS00025325) aims to investigate the potential of routine TDM to reduce adverse drug reactions in renal cell carcinoma patients receiving axitinib or cabozantinib. Furthermore, the feasibility of using volumetric absorptive microsampling (VAMS), a minimally invasive and easy to handle blood sampling technique, for sample collection is examined. During routine visits, blood samples are collected and sent to bioanalytical laboratories. Venous and VAMS blood samples are collected in the first study phase to facilitate home-based capillary blood sampling in the second study phase. Within one week, the drug plasma concentrations are measured, interpreted, and reported back to the physician. Patients report their drug intake and toxicity using PRO-CTCAE-based questionnaires in dedicated diaries. Ultimately, the ON-TARGET study aims to develop a nationwide infrastructure for TDM for oral anticancer drugs.}, language = {en} } @article{VerghoKneitzKalogirouetal.2014, author = {Vergho, Daniel Claudius and Kneitz, Susanne and Kalogirou, Charis and Burger, Maximilian and Krebs, Markus and Rosenwald, Andreas and Spahn, Martin and L{\"o}ser, Andreas and Kocot, Arkadius and Riedmiller, Hubertus and Kneitz, Burkhard}, title = {Impact of miR-21, miR-126 and miR-221 as Prognostic Factors of Clear Cell Renal Cell Carcinoma with Tumor Thrombus of the Inferior Vena Cava}, doi = {10.1371/journal.pone.0109877}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113633}, year = {2014}, abstract = {Clear cell renal cell carcinoma (ccRCC) characterized by a tumor thrombus (TT) extending into the inferior vena cava (IVC) generally indicates poor prognosis. Nevertheless, the risk for tumor recurrence after nephrectomy and thrombectomy varies. An applicable and accurate prediction system to select ccRCC patients with TT of the IVC (ccRCC/TT) at high risk after nephrectomy is urgently needed, but has not been established up to now. To our knowledge, a possible role of microRNAs (miRs) for the development of ccRCC/TT or their impact as prognostic markers in ccRCC/TT has not been explored yet. Therefore, we analyzed the expression of the previously described onco-miRs miR-200c, miR-210, miR-126, miR-221, let-7b, miR-21, miR-143 and miR-141 in a study collective of 74 ccRCC patients. Using the expression profiles of these eight miRs we developed classification systems that accurately differentiate ccRCC from non-cancerous renal tissue and ccRCC/TT from tumors without TT. In the subgroup of 37 ccRCC/TT cases we found that miR-21, miR-126, and miR-221 predicted cancer related death (CRD) accurately and independently from other clinico-pathological features. Furthermore, a combined risk score based on the expression of miR-21, miR-126 and miR-221 was developed and showed high sensitivity and specificity to predict cancer specific survival (CSS) in ccRCC/TT. Using the combined risk score we were able to classify ccRCC/TT patients correctly into high and low risk cases. The risk stratification by the combined risk score (CRS) will benefit from further cohort validation and might have potential for clinical application as a molecular prediction system to identify high- risk ccRCC/TT patients.}, language = {en} }